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. 2025 Apr 15;17(4):1060-1072.
doi: 10.18632/aging.206239. Epub 2025 Apr 15.

Frailty predicts adverse clinical outcomes in patients with moderate to severe chronic kidney disease

Chiung-Ying Huang  1 , Hsiao-Mei Tsao  2   3 , Shu-Ling Liang  2 , Tai-Shuan Lai  2   3 , Yung-Ming Chen  1   2   3
Affiliations

Frailty predicts adverse clinical outcomes in patients with moderate to severe chronic kidney disease

Chiung-Ying Huang et al. Aging (Albany NY). .

Abstract

Background and aim: Frailty predicts adverse clinical outcomes in older adults. Its prognoses in individuals with specific illnesses have not been fully explored. This study aimed to investigate the impact of frailty by using a semiautomated instrument in patients with advanced chronic kidney disease (CKD).

Methods and results: In this prospective study, patients with CKD3b-5 before dialysis and aged ≥55 years with a clinical frailty scale of ≤5 were enrolled. Frailty was assessed by three commonly-used evaluation tools, i.e., Fried's frailty phenotype, Study of Osteoporotic Fractures (SOF) index, and Frailty index of 80 risk variables (FI80) incorporated in a semiautomated platform. Logistic regression, Kaplan-Meier analysis, and Cox proportional hazards models were used to analyze the predictors for frailty and the impact of frailty on composite outcomes of dialysis and overall death. Among 315 patients, the mean age was 73.1 years, and the estimated glomerular filtration rate was 22.2 ml/min/1.73 m2. The prevalence of frailty was 6.2% by Fried's frailty phenotype, 0.6% by SOF index, and 26.7% by FI80. Logistic regression analysis showed that age, but not CKD severity or proteinuria, was the most consistent predictor for frailty across the three evaluative tools. During an average follow-up period of 1.7 years, the incidences of kidney failure resulting in dialysis, overall death, or hospital admission were 10.5, 0.6, and 15.2 per 1,000 patient-month, respectively. Kaplan-Meier analysis revealed that frail patients identified by FI80 exhibited worse composite outcomes than their prefrail and robust counterparts (log-rank test, P = 0.01). Multivariate Cox models confirmed that frailty defined by FI80 predicted adverse composite outcomes (HR 3.51, 95% CI: 1.20, 10.22).

Conclusions: Frailty is common among CKD patients, and its prevalence increases with age and disease advancement. The frailty status identified by the FI80 effectively predicted end-stage kidney disease or death in patients with advanced CKD.

Keywords: Fried’s frailty phenotype; SOF index; chronic kidney disease; frailty; frailty index.

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Conflict of interest statement

CONFLICTS OF INTEREST: The authors declare no conflicts of interest related to this study.

Figures

Figure 1
Figure 1
Flowchart of the study.
Figure 2
Figure 2
The prevalence of frailty status assessed by different measurements and stratified by age and CKD stages.
Figure 3
Figure 3
Kaplan–Meier curves of frailty status defined by different measurements for composite outcomes.
See this image and copyright information in PMC

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